Data Engineer

• Implement data warehousing solutions using platforms such as Snowflake, Redshift, or BigQuery.
• Ensure data quality, integrity, and security across the data ecosystem.
• Monitor, troubleshoot, and optimize data pipeline performance.
• Work with cross-functional teams to support data analytics and reporting needs.
• Implement and maintain data governance and documentation.
• Support real-time and batch data processing systems.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.
• 3+ years of experience in data engineering or related roles.
• Strong experience with SQL and database design.
• Proficiency in Python, Scala, or Java for data processing.
• Experience building ETL pipelines and data workflows.
• Familiarity with data warehousing concepts.
• Experience with version control systems (Git).

Preferred Qualifications

• Experience with big data technologies such as Apache Spark, Hadoop, or Kafka.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Knowledge of Airflow, dbt, or other workflow orchestration tools.
• Experience with data lakes and lakehouse architectures.
• Familiarity with Docker and Kubernetes.

Technical Skills

• Programming: Python, SQL, Java, Scala
• Data Processing: Apache Spark, Hadoop
• Databases: PostgreSQL, MySQL, MongoDB
• Data Warehousing: Snowflake, Redshift, BigQuery